Machine Learning Engineer (Life Sciences)

TL;DR

Machine Learning Engineer (AI): Building and deploying production-grade ML software, tools, and infrastructure for diverse clients with an accent on creating reusable and scalable AI solutions. Focus on leading technical scoping, architectural decisions, and defining standards for deploying machine learning at scale.

Location: Hybrid (2 days in our Old Street office, London)

Company

hirify.global is a company established in 2014, building and deploying responsible, human-centric AI solutions for over 350 global customers across various sectors, including life sciences.

What you will do

• Build and deploy production-grade ML software, tools, and infrastructure.
• Create reusable, scalable solutions to accelerate ML systems delivery.
• Collaborate with engineers, data scientists, and commercial leads to solve client challenges.
• Lead technical scoping and architectural decisions for project feasibility and impact.
• Define and implement hirify.global’s standards for deploying machine learning at scale.
• Act as a technical advisor to customers and partners, translating complex ML concepts.

Requirements

• Understand the full machine learning lifecycle and operationalise models with frameworks like Scikit-learn, TensorFlow, or PyTorch.
• Possess strong Python skills and solid experience in software engineering best practices.
• Bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP).
• Work with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale.
• Be comfortable with core ML concepts, including probability, statistics, and common learning techniques.
• Be an excellent communicator, able to guide technical teams and advise non-technical stakeholders.

Culture & Benefits

• Unlimited Annual Leave Policy.
• Private healthcare and dental.
• Enhanced parental leave.
• Family-Friendly Flexibility & Flexible working.
• Sanctus Coaching.
• Hybrid Working (2 days in our Old Street office, London).